气象学报2019，Vol.77Issue(2)：282-291,10.DOI:10.11676/qxxb2019.014
人工智能在冰雹识别及临近预报中的初步应用
A preliminary application of artificial intelligence on the detection and nowcasting of hail weather
摘要
Abstract
Based on three-dimensional mosaic reflectivity data from ten S-band Doppler radars in Guangdong Province, an artificial intelligence (AI) algorithm for automatic hail detection and nowcasting is developed using the machine learning technology. The training dataset used to develop the algorithm includes vertical and horizontal slice data of the mosaic radar reflectivity, in which the slice data of hail clouds are taken as positive samples, and other data are used as negative samples. The Bayes classifier method is used during the training process of machine learning to establish the capability of AI on recognizing the characteristics of the hail cloud. The data during the period of 2008-2013 and 2015-2016 are taken as training sets, while the observed data during the 12 hail weather processes in 2014 are used to validate the capability of AI. The result of comparative validation is encouraging, and the AI method is 9％ higher than the traditional Conceptual Model method on identifying the hit rate. The current study preliminarily shows the strong capability of AI on identifying the nonlinear strong weather processes.关键词
冰雹识别/临近预报/人工智能/机器学习/贝叶斯分类Key words
Hail detection/Nowcasting/Artificial intelligence/Machine learning/Bayes classifier分类
天文与地球科学引用本文复制引用
张文海,李磊..人工智能在冰雹识别及临近预报中的初步应用[J].气象学报,2019,77(2):282-291,10.基金项目
国家重点研发计划(2016YFC0203600) （2016YFC0203600）
国家自然科学基金(41575005) （41575005）
中国气象局华南区域中心项目(GRMC2015M02). （GRMC2015M02）
